海南杜鹃在河岸带弯道两侧的空间分布格局和年龄结构差异

河岸带是河流与陆地生态系统的交错带, 孕育了丰富的生物多样性。河流的冲刷与地势的作用使得河岸带往往形成弯道, 弯道内外两侧水流速度、泥沙性质与植物繁殖体聚集程度不同, 影响到植物生长与种群动态, 可能导致河岸带弯道凸岸、凹岸两侧植物空间分布格局和种群结构存在较大差异。该研究以中国特有、狭域分布的海南杜鹃(Rhododendron hainanense)为例, 揭示溪流弯道对其两侧海南杜鹃种群空间分布格局与种群动态的影响。在海南岛3个国家级自然保护区内各设置2个河岸弯道样带, 用方差/平均值法对弯道凸岸、凹岸两侧海南杜鹃的空间分布格局和种群动态进行对比研究。结果显示: (1)海南杜鹃弯道凸岸的种群结构呈增长型, 凹岸基本呈衰退型; (2)凸岸一侧上下游的海南杜鹃种群基本呈增长型, 凹岸一侧上下游的海南杜鹃则出现断龄现象; (3)距离弯顶位置或河岸越远, 各龄级海南杜鹃种群个体数量基本呈下降趋势; (4)在2 m × 2 m尺度下, 弯道凸岸及其下游的海南杜鹃主要呈聚集分布, 上游近似随机分布, 凹岸及其上下游则均呈随机分布。海南杜鹃分布的山区河岸带水流较快、坡度较大, 可能是导致弯道凹岸个体较少、种群结构呈衰退型的主要原因。因此, 河岸弯道内外两侧可能存在个体生长与群体差异, 在开展河岸带植物种群动态与物种保育研究中需给予重视。     

Population structure and spatial pattern of Caragana tibetica communities in Nei Mongol shrub-encroached grassland

Aims The community structure and function of the shrub-encroached grassland, as well as its formation mechanism, is one of hot scientific problems in vegetation science. The spatial pattern analysis is an important means for studying plant population interactions and the relationships between plant population and environment. The shrub-encroached grassland is one major vegetation type in Nei Mongol. Knowledge on the spatial pattern of shrub can improve our understanding on adaptive characteristics of shrub to steppe environment.
Methods We chose Caragana tibetica encroached grassland distributed in Ordos City as research objects. The spatial position of each C. tibetica individual in 64 m × 64 m study plot was determined by a method of “three-distance location method”, and then the spatial pattern and intraspecific associations of C. tibetica individuals was analyzed with the point pattern analysis.
Important findings The results showed that C. tibetica population was at the rising stage. The mature individuals showed a uniform distribution at the scale of less than 3.7 m, subsequently exhibiting a random distribution with an increased scale. The juvenile individuals showed an aggregation distribution at the scale of 0.3-20.4 m, but a uniform distribution at other scales. The dead C. tibetica individuals were distributed aggregately at the scale from 0.7 to 1.4 m, but randomly at other scales. An indistinctive positive association was found for live C. tibetica individuals to dead individuals at the scale of less than 9.9 m, but no associations was found between them at other scales. The mature individuals negatively interacted with juveniles at the scale of larger than 2.2 m, but unassociated at the other scales.     

Phenotypic variations in natural populations of Amygdalus pedunculata

Aims Our objectives were to determine the phenotypic variations, adaption and distribution patterns in seven natural Amygdalus pedunculata populations.Methods We analyzed 14 phenotypic traits from 120 individuals in seven populations of A. pedunculata by variance analysis, correlation analysis, and cluster analysis.Important findings Results showed that there were plentiful phenotypic variation within and among populations. In particular, the phenotypic variation within population was 40.91%, higher than that among populations (35.29%), which indicated that the phenotypic variation within population was the main source of the phenotypic variation in A. pedunculata. Mean differentiation coefficient was 45.90%, and mean coefficient of variation of 14 traits was 15.59%, ranged from 9.39% to 31.98%. Mean annual temperature, latitude, length of frost-free period, longitude and altitude appear to be prominent ecological factors influencing phenotypic traits. Mean annual temperature and length of frost-free period were key indicators to phenotypic of A. pedunculata in different site conditions. According to principal component analysis and unweighted pair-group method with arithmetic means (UPGMA) cluster analysis, the seven populations of A. pedunculata could be divided into two groups. In mountainous region, A. pedunculata’s leaf blade was usually rotund to oblong, fruit nearly spherical shape with shorter fruit stem, stone was usually ovoid to spherical shape. In contrast, in sandy region, leaf blade was long oval to ovate-lanceolate, fruit and stone was usually flat ovoid with longer fruit stem. Our results provide critical information for the resource collection and breeding of this ecologically important species.     

Effects of tree mortality on the spatial patterns and interspecific associations of plant species in a Quercus aliena var. acuteserrata forest in Baotianman,Henan, China

Aims Tree mortality is an important ecological process in forest ecosystems. The aims of this study were to determine how tree mortality influences the spatial patterns and interspecific associations of plant species, and what are the causes of tree mortality in a 1 hm² permanent plot in Baotianman National Nature Reserve, Nanyang City, Henan Province.
Methods We conducted field investigations in the plot and used spatial point pattern analysis to examine the spatial patterns and interspecific associations of 17 species prior to and following mortality.
Important findings (1) Most of the species in the study plot showed an aggregated distribution both pre- and post-mortality. However, the number of species showing aggregated distribution decreased and the number of species showing random distribution increased following the mortality event. (2) Most species were positively associated with Quercus aliena var. acuteserrata both pre- and post-mortality, while some had no apparent association. Following tree mortality, on fine scales, the number of species with positive associations increased, and the number of species with negative associations decreased. (3) Tree mortality was in consistency with the random death hypothesis. The interspecific associations of four species with Q. aliena var. acuteserrata completely changed following death. For most species, the spatial patterns and the interspecific association with Q. aliena var. acuteserrata either changed at minor scales or did not change. The variations in spatial patterns or interspecific associations were inconsistent among species. (4) The dead trees of Q. aliena var. acuteserrata were significantly associated with the living trees in 13 species, but the associations between dead and living trees were not in agreement with the changes in interspecific association following mortality. Only five living tree species competed with the dead trees of Q. aliena var. acuteserrata, and the competition between each of these species and Q. aliena var. acuteserrata intensified after individual death. Tree mortality is the result of a variety of factors. Although the tree mortality in the study plot was in accordance with the random death hypothesis, there were also a few individuals which were dead from competition.     

Community characteristics and population structure of Ferrocalamus strictus,a rare species in Mojiang,Yunnan, China

铁竹(Ferrocalamus strictus)分布在云南南部局部区域, 其数量少, 分布范围狭窄, 为云南省极小种群物种。对铁竹野生种群结构及其所在群落特征进行研究可以为了解其濒危机制提供科学依据, 也可为其保护提供前期研究基础。该研究通过对墨江铁竹野生资源的调查, 从物种组成、种群密度、种群存活曲线和死亡因素等方面, 分析铁竹的种群结构及其所在群落特征。结果表明: (1)墨江铁竹种群所在群落的外貌、物种组成均具有山地雨林的特征; (2)墨江铁竹种群密度为2.04株·m ^-2; 铁竹种群的存活曲线介于Deevey-I型和Deevey-II型之间; 铁竹种群的净增殖率(R₀)为1.10, 表明铁竹种群处于增长阶段; (3)导致铁竹死亡的原因有人为砍伐、自然枯立、退笋及昆虫啃食, 其中人为砍伐所占比例最大; (4)铁竹为南亚热带森林竹种, 属中型竹类, 节间长度从基部3-4节起突然伸长, 最长超过1 m, 在竹类植物中居于前列, 这与其适应热带山地雨林环境密切相关。     

Phenotypic variations in seed and fruit traits of Liquidambar formosana populations

为了明确我国枫香树(Liquidambar formosana)种子与果实表型变异程度和变异规律, 采用方差分析、相关分析和回归分析等方法对36个天然种群枫香树的10个种子与果实的表型性状在种群间和种群内表型变异和地理变异模式进行探讨。研究结果表明, 枫香树平均表型分化系数为57.55%, 种群间的变异是其表型变异的主要来源; 种子和果实表型性状的变异丰富, 变异幅度为10.05%-24.31%, 平均变异系数为15.83%; 不同种群间变异差别明显, 安福种群平均变异系数最大(16.73%), 建阳种群平均变异系数最小(11.48%)。枫香树多数种子与果实表型性状在地理变化上是随机的, 地理相近种群在表型上没有显著相关性。地理气候因子中1月平均气温、海拔和纬度对种子与果实性状起主要的影响。种子与果实性状与海拔相关分析表明, 枫香树种子长宽比随海拔的升高而减小, 种子长宽比可以推测种群所在的海拔高度。探讨枫香树种群表型多样性, 可为野生优异种质的收集、多目标品种选育等工作提供依据。     

泥炭地特征性环境因子促进泥炭藓持久孢子库的形成

研究泥炭地特征性环境因子——淹水、少氧和化感物质对泥炭藓孢子持久性的影响, 可深入理解泥炭地泥炭藓持久孢子库的形成机制, 为退化泥炭地泥炭藓地被恢复研究提供参考。该研究以藓丘种和丘间种两种泥炭藓的孢子为试验材料, 通过室内模拟控制实验的方法, 研究泥炭藓孢子在空气、超纯水、泥炭地地表水和泥炭藓沥出液中, 及3种速率充气下, 孢子萌发力持久性的变化。经充气处理后, 泥炭藓孢子持久性显著低于不充气处理。不充气时, 泥炭藓孢子在含有化感物质的泥炭地地表水和泥炭藓沥出液中保存, 持久性显著高于在超纯水中保存。通径分析结果显示, 溶解氧是影响泥炭地泥炭藓孢子持久性的主要因子和限制因子, 养分元素氮(TN)和磷(TP)的浓度为孢子持久性的负作用因子。研究结果表明, 泥炭藓孢子散布于苔藓地被基质或淹水的丘间生境中, 比暴露于空气或在无化感物质的水中, 能更好地维持萌发力。泥炭地中, 泥炭藓孢子和其他植物的繁殖体的超长寿命可能归因于少氧、养分贫乏和丰富的化感物质等泥炭地特征性环境因子。     

Modeling the potential suitable habitat of Impatiens hainanensis,a limestone-endemic plant

模拟物种的潜在分布区是保护管理受威胁物种的重要手段。该研究对海南岛石灰岩特有种、濒危植物——海南凤仙花(Impatiens hainanensis)的潜在适宜生境分布进行预测, 旨在为海南凤仙花的有效保护及重引入工作提供基础的科学依据。研究基于海南凤仙花8个种群分布点和12个环境变量, 利用最大熵模型(MaxEnt)和GIS技术构建海南凤仙花适宜生境预测模型, 模拟了当前时期海南凤仙花在海南岛的潜在分布区; 同时基于5个实际分布数据和5个不存在数据, 采用受试者工作特征曲线下的面积(AUC)、Kappa系数、真实技巧统计值(TSS)及总体精度4个评估指标综合评价模型的预测精度。研究结果表明: 4个评估指标值均在0.9以上, 说明MaxEnt模型能够很好地预测海南凤仙花潜在适宜生境的分布。限制其分布的主要环境因子为坡度、最干季降水量、降水量季节性变异系数。当前, 海南凤仙花的最适宜生境占海南岛总面积的1.8%, 主要分布于白沙西部与南部、昌江中部和南部、东方东部、乐东东北部。海南凤仙花潜在适宜生境分布狭窄, 且破碎化严重, 迫切需要保护。因此建议: 收集海南凤仙花各种群种子, 建立种质资源库; 将东方天安乡、江边乡及乐东东北部(佳西保护区)等可能存在最适宜生境的地区, 作为今后野外深入调查的首选区域和重引入的重点区域。     

Spatial distributions of biomass and carbon density in natural grasslands of Hebei,China

分析不同草地类型生物量与碳密度空间分布特征及其影响因素, 揭示草地植物碳库的变化规律, 对于了解我国草地生态系统碳汇具有重要意义。2011-2013年以河北省天然草地为研究对象, 调查了不同草地类型的地上活体生物量、凋落物生物量和根系生物量以及各组分的碳密度。结果表明: 温性草原、温性草甸、温性山地草甸、低地盐化草甸、暖性草丛和暖性灌草丛6种草地类型的总生物量差异显著, 其中低地盐化草甸总生物量最高, 为2 770.2 g·m ^-2, 而温性草原最低, 为747.6 g·m ^-2, 前者约为后者的3.7倍; 地上活体生物量最大的是低地盐化草甸, 其次是暖性灌草丛和温性山地草甸, 最小的是温性草原, 分别为285.0、235.1、203.1和110.6 g·m ^-2; 凋落物生物量也是低地盐化草甸最大, 其次是温性山地草甸和温性草甸, 分别为584.0、187.9和91.0 g·m ^-2。6种草地类型的根系生物量均大于地上生物量, 是地上生物量的1.9-4.3倍, 不同草地类型根冠比的平均值为3.1; 低地盐化草甸的根系生物量最高, 为1901.3 g·m ^-2, 温性草原的根系生物量最低, 只有低地盐化草甸的1/3。在各类草地生物量碳密度方面, 低地盐化草甸的地上活体碳密度、凋落物碳密度与根系碳密度均为最大, 分别为132.7、81.2和705.9 g C·m ^-2。草地地上生物量、凋落物生物量和根系生物量以及总生物量均随海拔的升高先减少而后增加(p < 0.05); 草地生态系统总生物量和根系生物量随大于10 ℃积温的增加先降低而后升高(p < 0.01)。该研究中暖性灌草丛多分布在石质山区, 土层很薄, 植物地上生物量和根系生物量都比土层较厚的草甸草原低。可见, 在较大区域比较不同草地类型生物量时, 应综合考虑气候、土壤、地理等因素。     

Age of arboreous Tamarix austromongolica and its growth response to environment in Tongde County of Qinghai,China

Aims The objectives were to identify the age of the arboreous Tamarix austromongolica in the flood plain area of the Qinghai Plateau and clarify the response patterns of T. austromongolica’s growth to the environmental factors. We focused on social issues about whether the T. austromongolica should be protected and how to protect in the reservoir area of a hydropower station. Methods In this study, arboreous T. austromongolica in both reservoir submerged and non-submerged areas were sampled and measured based on the dendrochronology method. The ages were estimated based on the geometrical characteristics of the pith and the identified age of the inner ring. The correlation and response analysis showed the relationship between T. austromongolica’s growth and environmental factors. Important findings We accurately determined the age and historical growth dynamics of the T. austromongolica with large diameter at breast height (DBH). The results showed a special accretion phenomenon in arboreous T. austromongolica, which accelerated the DBH increasing, i.e. no direct relationship existed between the plants’ DBH and ages of the individuals. Radial growth of T. austromongolica, increased rapidly in the 1970s and 1980s and began to stabilize in the late 1980s, and mainly responded to the runoff in July and August of the Yellow River. Increasing runoff would promote the radial growth of T. austromongolica. The growth of the immaturate plant showed significant negative correlation with the wind speed in the growing season. The results will be of theoretical significance to the formation of the special morphology of the T. austromongolica, and will provide scientific practical guidance in designing the protection schemes.     

末次盛冰期以来观光木的潜在地理分布变迁

观光木(Tsoongiodendron odorum)是木兰科的古老残遗物种, 目前正面临严峻的生存威胁, 属于极小种群濒危植物。通过生态位模型(ENM)能够重建观光木地理分布格局的历史变迁, 探究气候变化对该物种分布的影响, 并了解其地理分布与气候需求间的关系, 从而为全球变暖背景下观光木的保护提供理论基础。该文基于96条现代分布记录和8个环境变量, 采用最大熵(MaxEnt)模型模拟观光木在末次盛冰期、全新世中期、现代和未来(2061-2080年, RCP 8.5)的潜在分布区, 利用SDM toolbox分析观光木的地理空间变化, 并综合贡献率、置换重要值和Jackknife检验来评估气候因子的重要性。研究结果表明: (1)观光木的高度适生区在南岭地区, 末次盛冰期时没有大尺度向南退缩, 很可能在山区避难所原地存活; (2)在全新世中期和未来两个增温的气候情境下, 观光木的分布区均表现为缩减, 其中未来分布的减幅更大, 表明气候变暖对观光木的生长有一定的负面影响; (3)总体上看, 观光木各个时期的地理分布范围相对稳定, 说明观光木对气候变化有一定的适应能力, 人为活动或自身繁育问题可能是致濒的重要原因, 并建议对广东和广西群体进行优先保护。     

青海省森林土壤磷储量及其分布格局

磷(P)是地球生态系统中重要的生命元素。全球变化背景下, 科学地探究森林土壤磷储量现状及其影响因子, 对陆地生态系统的稳定以及磷的可持续利用具有重要意义。因此, 该研究利用青海省240个森林标准样地土壤实测数据, 并结合青海省森林资源清查资料估算出了青海省森林土壤磷储量, 揭示了其分布格局, 并讨论了土壤磷储量与环境因子的关系。结果表明: (1)青海省森林土壤磷储量为1.74 Tg, 全省1 m深土壤平均磷密度为4.65 Mg·hm ^-2, 土壤磷密度总体上呈地带性分布。(2)土壤磷密度在中低海拔(2 200-3 000 m)区域随海拔的升高显著减小, 在高海拔(3 300-3 900 m)区域随海拔高度的增加而显著变大。山地灰褐色森林土的磷密度最大且显著大于山地棕色暗针叶林土和山地暗褐土。(3)土壤磷含量随海拔升高显著减小, 山地棕色暗针叶林土各土层磷含量相对较大, 山地暗褐土的磷含量最小, 且土壤磷含量随着土层的加深而减小。(4)海拔、温度、土壤类型以及土壤含水量均对土壤磷含量有直接影响, 且影响较大, 其中海拔和温度是影响土壤磷含量变化的关键因子; 土壤磷密度对土壤容重、土壤磷含量、土壤含水量、海拔、土壤类型的变化响应较为明显, 而土壤容重可能是限制土壤磷密度变化的主导因素。     

Responses of the distribution pattern of Quercus chenii to climate change following the Last Glacial Maximum

Aims Quercus chenii is a representative species of the flora in East China, with high ecological and economic values. Here, we aim to simulate the changes in the distribution pattern of this tree species following the Last Glacial Maximum (LGM) and to explore how climatic factors constrain the potential distribution, so as to provide scientific basis for protection and management of the germplasm resources in Q. chenii.
Methods Based on 55 presence point records and data on eight environmental variables, we simulated the potential distribution of Q. chenii during the Last Glacial Maximum, mid-Holocene, present and the year 2070 (the scenario of greenhouse gas emission is Representative Concentration Pathway 8.5) with MaxEnt model. The novel climate area and main factors influencing the changes in distribution pattern were evaluated by multivariate environmental similarity surface analysis and the most dissimilar variable analysis. The importance of environmental variables was evaluated by percent contribution, permutation importance and Jackknife test. Response curves were used to estimate the suitable value range of each variable.
Important findings The accuracy of MaxEnt model is very high, as indicated by the value of the area under the receiver operator characteristic curve of 0.9869 ± 0.0045. The highly suitable region for the present distribution covers southern Anhui, western Zhejiang, northeastern Jiangxi and eastern Hubei. The main factors affecting the potential distribution of Q. chenii are temperature and precipitation, with the former being more important. Mean temperature of the driest quarter is likely the main factor restricting Q. chenii growing in the north. During the LGM, the East China Sea Shelf occurs as the highly suitable region for the distribution of Q. chenii. In the mid-Holocene, the outline of the suitable area for the distribution of Q. chenii is similar to the present. The potential distribution region will likely move northward and experience an area expansion under the climate condition in 2070. At that time, climate anomaly will also be most severe compared to the LGM, mid-Holocene and present. Temperature seasonality and precipitation seasonality may be the main climatic factors promoting changes in the distribution pattern of Q. chenii.     

An evaluation of four threshold selection methods in species occurrence modelling with random forest: Case studies with Davidia involucrata and Cunninghamia lanceolata

Aims Predictive species distribution models (SDMs) are increasingly applied in resource assessment, environmental conservation and biodiversity management. However, most SDM models often yield a predicted probability (suitability) surface map. In conservation and environmental management practices, the information presented as species presence/absence (binary) may be more practical than presented as probability or suitability. Therefore, a threshold is needed to transform the probability or suitability data to presence/absence data. However, little is known about the effects of different threshold-selection methods on model performance and species range changes induced by future climate. Of the numerous SDM models, random forest (RF) can produce probabilistic and binary species distribution maps based on its regression and classification algorisms, respectively. Studies dealing with the comparative test of the performances of RF regression and classification algorisms have not been reported.
Methods Here, the RF was used to simulate the current and project the future potential distributions of Davidia involucrata and Cunninghamia lanceolata. Then, four threshold-setting methods (Default 0.5, MaxKappa, MaxTSS and MaxACC) were selected and used to transform modelled probabilities of occurrence into binary predictions of species presence and absence. Lastly, we investigated the difference in model performance among the threshold selection methods by using five model accuracy measures (Kappa, TSS, Overall accuracy, Sensitivity and Specificity). We also used the map similarity measure, Kappa, for a cell-by-cell comparison of similarities and differences of distribution map under current and future climates.
Important findings We found that the choice of threshold method altered estimates of model performance, species habitat suitable area and species range shifts under future climate. The difference in selected threshold cut-offs among the four threshold methods was significant for D. involucrata, but was not significant for C. lanceolata. Species’ geographic ranges changed (area change and shifting distance) in response to climate change, but the projections of the four threshold methods did not differ significantly with respect to how much or in which direction, but they did differ against RF classification predictions. The pairwise similarity analysis of binary maps indicated that spatial correspondence among prediction maps was the highest between the MaxKappa and the MaxTSS, and lowest between RF classification algorism and the four threshold-setting methods. We argue that the MaxTSS and the MaxKappa are promising methods for threshold selection when RF regression algorism is used for the distribution modeling of species. This study also provides promising insights to our understanding of the uncertainty of threshold selection in species distribution modeling.     

Leaf phenotypic variation in natural populations of Cerasus dielsiana

为揭示中国特有植物尾叶樱桃(Cerasus dielsiana)在现代核心分布区天然种群的叶表型地理变异规律及其生态适应性特征, 该研究通过多重比较、巢氏方差分析、相关性分析、主成分分析(PCA)、主坐标分析(PCoA)、非加权配对算术平均法(UPGMA)聚类分析等数理方法, 对来自四川、湖北、湖南、江西、台湾5省8个尾叶樱桃天然种群的11个叶表型性状进行了比较分析, 研究其不同地理单元间叶表型多样性和地理变异规律及对地理气候的响应。结果显示: 1)尾叶樱桃主要叶表型性状变异在种群内和种群间均存在显著差异, 平均变异系数为22.44%, 其中变异系数最大和最小的分别为叶面积(50.83%)与一级侧脉数(7.96%); 平均叶表型性状的分化系数为30.78%, 种群内的变异(51.55%)大于种群间的变异(22.55%)。2) PCA表明对尾叶樱桃叶表型性状变异起主要贡献作用的前三大主成分累计贡献率达到92.400%, 可以综合概括和排序为“大小性状” (73.242%)与“形状性状” (19.158%)。3)叶宽(r = -0.641)、叶面积(r = -0.658)和一级侧脉数(r = 0.659)性状均与经度呈显著负相关或正相关关系, 气温季节变化和最湿季降水量对叶表型性状变异影响较大。4)基于PCoA和UPGMA聚类分析可将8个天然种群划分为4类。尾叶樱桃天然种群叶表型性状变异丰富, 在数量上表现出一定的连续性, “大小性状”是性状间变异的主要来源, 平均表型分化处于中等程度水平, 种群内是叶表型性状变异的主要来源; 各种群间表型分化划分结果与地理位置基本一致, 在地理空间上呈现以经度为主的梯度变异模式, “气候变异性”与“展叶期降水量”是驱动叶表型性状变异的主要气候因子, 推测这是尾叶樱桃在长期进化中与亚热带季风气候环境相适应的结果。     

CO2 flux dynamics and its limiting factors in the alpine shrub-meadow and steppe-meadow on the Qinghai-Xizang Plateau

高寒灌丛草甸和草甸均是青藏高原广泛分布的植被类型, 在生态系统碳通量和区域碳循环中具有极其重要的作用。然而迄今为止, 对其碳通量动态的时空变异还缺乏比较分析, 对碳通量的季节和年际变异的主导影响因子认识还不够清晰, 不利于深入理解生态系统碳通量格局及其形成机制。该研究选取位于青藏高原东部海北站高寒灌丛草甸和高原腹地当雄站高寒草原化草甸年降水量相近的5年(2004-2008年)的涡度相关CO₂通量连续观测数据, 对生态系统净初级生产力(NEP)及其组分, 包括总初级生产力(GPP)和生态系统呼吸的季节、年际动态及其影响因子进行了对比分析。结果表明: 灌丛草甸的CO₂通量无论是季节还是年际累积量均高于草原化草甸, 并且连续5年表现为“碳汇”, 平均每年NEP为70 g C·m ^-2·a ^-1, 高寒草原化草甸平均每年NEP为-5 g C·m ^-2·a ^-1, 几乎处于碳平衡状态, 但其源/汇动态极不稳定, 在2006年-88 g C·m ^-2·a ^-1的“碳源”至2008年54 g C·m ^-2·a ^-1的“碳汇”之间转换, 具有较大的变异性。这两种高寒生态系统源/汇动态的差异主要源于归一化植被指数(NDVI)的差异, 因为NDVI无论在年际水平还是季节水平都是NEP最直接的影响因子; 其次, 灌丛草甸还具有较高的碳利用效率(CUE, CUE = NEP/GPP), 而年降水量和NDVI是决定两生态系统CUE大小的关键因子。两地区除了CO₂通量大小的差异外, 其环境影响因子也有所不同。采用结构方程模型进行的通径分析表明, 灌丛草甸生长季节CO₂通量的主要限制因子是温度, NEP和GPP主要受气温控制, 随着气温升高而增加; 而草原化草甸的CO₂通量多以季节性干旱导致的水分限制为主, 其次才是气温的影响, 受二者的共同限制。此外, 两生态系统生长季节生态系统呼吸主要受GPP和5 cm土壤温度的直接影响, 其中GPP起主导作用, 非生长季节生态系统呼吸主要受5 cm土壤温度影响。该研究还表明, 水热因子的协调度是决定青藏高原高寒草地GPP和NEP的关键要素。     

Spatial distribution of male and female Populus cathayana populations and its drivers in Xiaowutai Mountains,Hebei, China

为揭示雌雄异株植物种群的空间分异现象的内在原因, 以河北小五台山天然青杨(Populus cathayana)种群为研究对象, 采用平均最近邻指数、核密度、方差分析等方法分析了青杨雌雄群体的聚集程度、群体密度和分布格局以及其与到河岸的距离(河距)、海拔和土壤理化性质间的内在关系。结果显示: 1)青杨种群总体上沿金河沟呈狭长带状集聚分布, 中海拔区域个体数量最多, 密度最大; 2)随海拔增加, 雌雄个体数与密度均表现“先增后减”的特点, 而平均胸径的变化正好相反; 3)海拔对性比具有显著影响: 低海拔区域(1 300-1 400 m)偏雌, 中低海拔区域(1 400-1 500 m)偏雄, 其他海拔段的性比接近1:1; 4)随河距增加, 雌雄个体数、密度和平均胸径均表现出逐渐减少或减小的特点, 并且雌株优势分布区内的土壤有机质和全氮含量显著高于雄株优势分布区; 5)局部区域由于海拔和河距改变了土壤理化性质和生长环境, 导致了该区域内的性比发生偏倚。上述结果表明, 青杨雌雄群体的空间分布、动态变化以及性比受海拔、河距以及所在区域的土壤理化性质的综合影响, 雌雄植株在资源需求和环境适应力方面存在的差异会导致局部区域内的性比发生偏倚。     

丛枝菌根真菌对不同性别组合模式下青杨雌雄植株根系生长的影响

丛枝菌根真菌(AMF)对雌雄异株植物根系生长, 尤其是对邻近生长的不同雌雄个体的影响还鲜有研究。该研究以泥土:河沙:蛭石体积比为1:1:1的混合物为培养基质, 分别在雄-雄、雌-雌和雄-雌3种组合栽培模式下对青杨(Populus cathayana)雌雄幼苗进行接种和不接种摩西球囊霉(Funneliformis mosseae)处理, 通过比较接种AMF与否雌雄植株根系在侵染率、生物量、形态、碳、氮含量等方面的差异来分析AMF对青杨雌雄幼苗根系生长发育的影响。结果发现: 与对照组相比, 接种AMF对3种栽培模式下青杨雌雄植株的侵染率、根干质量、根系形态(除分枝强度、比表面积)和碳、氮含量影响显著。此外, 不同性别组合模式对青杨雌雄植株的根干质量、根系形态和碳、氮含量影响显著。接种AMF后, 与雌-雌合栽模式下的雌株相比, 雄-雌合栽模式下雌株的根干质量、氮含量都有不同程度的提高, 根系形态发生改变; 而与雄-雄合栽模式下的雄株相比, 雄-雌合栽模式下雄株的相应指标出现降低或轻微增加。该研究表明AMF对不同性别组合模式下青杨植株根系生长具有显著促进作用, 尤其是雄-雌合栽模式下AMF接种最有利于雌株根系的生长发育。     

Spatial distribution patterns and association of Picea crassifolia population in Dayekou Basin of Qilian Mountains,northwestern China

研究青海云杉(Picea crassifolia)种群不同发育阶段的空间分布格局及其关联性, 能揭示其种群的发展规律, 推断其潜在的生态学过程或影响机制, 进而为该种群的配置、种植和森林的经营与管理等提供指导。该研究基于祁连山大野口流域10.2 hm²青海云杉动态监测样地调查资料, 分析了青海云杉群落的物种组成和径级结构, 并采用点格局方法, 通过单变量成对相关函数和双变量成对相关函数对不同年龄阶段青海云杉种群的空间分布格局及其空间关联性进行分析。结果表明: (1)青海云杉种群的径级结构呈倒“J”型分布, 属增长型种群, 种群自然更新状况良好。(2)青海云杉种群4个径级的个体在小尺度上呈聚集分布, 但随着空间尺度的增大, 聚集强度逐渐减弱, 趋向随机分布; 较小径级的个体常呈聚集分布, 而随着径级增大, 也趋向于随机分布。(3)青海云杉大树个体在小尺度(<4 m)范围内与其他径级个体都呈负关联, 随着尺度的增加, 大树与幼树表现出正关联且关联性随尺度的增加而减弱, 而与小树、中树则表现为无关联或者微弱的负关联; 径级相近的个体空间关联性为正关联或无关联, 随着个体径级间差距增大, 空间关联性转变为无关联或负关联。研究表明, 祁连山大野口流域青海云杉种群的分布格局及其关联性随空间尺度和发育阶段而变化, 这是由种群自身的生物生态学特性、种内种间关系以及环境条件共同作用的结果。     

吉林老白山鱼鳞云杉树轮蓝光强度和轮宽指数与气候响应关系随海拔变化的对比

树轮数据是晚全新世古气候研究中最重要的代用指标。树轮参数各具优缺点, 蓝光强度(BI)是一种获取成本低廉的最大晚材密度(MXD)的光学替代参数, 其蓝色光反射率或强度最小值(256-BI)与相应的MXD值高度相关, 被很多的学者认为是树轮气候学研究中一个具有重要潜能的新兴参数。该研究以吉林老白山3个海拔(900、1 200和1 500 m)的鱼鳞云杉(Picea jezoensis)为例, 分析鱼鳞云杉的BI及轮宽指数(RWI)与气候因子的响应差异, 以期为BI参数在树轮气候学的进一步应用提供参考。结果表明: 不同海拔鱼鳞云杉BI或RWI对气候的响应趋势基本一致。BI与温度主要呈正相关关系, 而RWI与温度主要呈负相关关系, 其中BI与当年夏季及生长季最高温度显著正相关, 而RWI (低、中海拔)与全年平均气温、当年生长季和全年最低温度显著负相关。BI与当年夏季标准化降水蒸散指数(SPEI)显著负相关, RWI与夏季SPEI负相关关系较弱或为正相关; BI和RWI几乎相反的生长-气候关系可能是早、晚材权衡关系的体现。研究区域鱼鳞云杉的BI参数可能与年轮宽度记录不同的气候信号, 在空间尺度上对于当年夏季降水、最高温度以及SPEI的响应好于传统宽度指标。BI与主要气候因子相关关系的时间稳定性好于RWI, 因此, BI在树轮气候学的研究中具有一定的应用潜能。